棕榈智能交通的初步研究:以印度尼西亚的Sei Tandun - Sei Rokan区PT Perkebunan Nusantara V为例

E. T. Tosida, F. D. Wihartiko, Indra Permana Solihin, A. Kustiyo, Akbar Sugih Miftahul Huda
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摘要

新鲜水果串(FFB)的PT Perkebunan Nusantara V印度尼西亚运输过程中的连锁损失问题预计将增加。本初步研究的主要目的是构建快速公交的智能交通概念。这个概念是基于在特定条件下假设的问题,通过集成FFB产量的自动测量,因为它是使用安装在FFB收集点的重量传感器测量的,然后进入棕榈油加工厂。测量结果将通过物联网传达给卡车运输站,以便精确计算卡车的容量和数量。通过遗传算法计算运输卡车的数量,确定最优路线。这条最佳路线将作为无人驾驶卡车的指导方针,根据从棕榈油种植园环境中自动读取的数据输入,通过与物联网的数据通信,协调移动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Preliminary Study of Palm Smart Transportation: Case of Sei Tandun - Sei Rokan District PT Perkebunan Nusantara V Indonesia
The problem of chain losses in transportation process of Fresh Fruit Bunches (FFB)'s PT Perkebunan Nusantara V Indonesia, predicted increase. The main objective of this preliminary study is to build the smart transportation concept of FFB. This concept is built based on problems that are assumed under certain conditions, by integrating automatic measurement of FFB yields, because it is measured using a weight sensor installed at the FFB collection point and proceed to the palm oil processing mill. The measurement results will be communicated by IoT to the trucking station so that the capacity and number of trucks can be calculated precisely. The number of transport trucks will determine the optimal route with the genetic algorithm. This optimal route will serve as a guideline for unmanned trucks to move in harmony according to data input that is automatically read from the palm oil plantation environment, through data communication with IoT.
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